Efficient and Scalable Statistics Gathering for Large Databases in Oracle 11g
Summary: One-pass distinct sampling derives table-level stats from partition-level stats, avoiding full-table scans. Oracle 11g re-gathers only changed partitions and derives table stats, becoming the first commercial implementation of this approach with notable accuracy and faster performance than 10g. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sunil Chakkappen
- 2. Thierry Cruanes
- 3. Benoit Dageville
- 4. Linan Jiang
- 5. Uri Shaft
- 6. Hong Su
- 7. Mohamed Zait
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,442 | Brighthouse: An Analytic Data Warehouse for Ad-hoc Queries | 2008 | VLDB | 8.8067249e-05 |
| 5,184 | Query Optimization in Oracle 12c Database In-Memory | 2015 | VLDB | 5.6360141e-05 |
| 5,543 | Lightweight Cardinality Estimation in LSM-based Systems | 2018 | SIGMOD | 5.4486922e-05 |
| 12,068 | Statistics Collection in Oracle Spatial and Graph: Fast Histogram Construction for Complex Geometry Objects | 2013 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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